Payhippo's mission is to make financial services seamless for African SMEs.
Job Overview
- We’re looking for a detail-oriented and analytical Data Analyst to support data-driven decision-making across Rivy.
- The ideal candidate will gather, process, and analyze data to generate insights that improve performance, optimize operations, and support strategic initiatives.
Key Responsibilities
- Collect, clean, and validate datasets from internal systems and external sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- ?Build reports and dashboards for cross-functional teams (e.g., Sales, Credit, Collections and Recovery, ERM,Ops).
- ?Monitor key performance indicators (KPIs) and provide actionable recommendations.
- Collaborate with teams to define data requirements for ongoing initiatives.
- ?Present findings clearly using visuals and narrative reports to stakeholders.
- Support automation of routine data tasks and reporting processes.
- ?Ensure data integrity and security in all analysis and reporting activities.
Job Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field.
- 2–4 years of relevant experience in data analytics or business intelligence.
- Strong skills in SQL, Excel, and at least one analytics tool (e.g., Power BI, Tableau).
- Proficiency in Python/R is a plus.
- ?Strong analytical mindset with attention to detail.
- Ability to communicate complex findings in a simple and clear way.
- Experience in a tech or financial services environment is compulsory.
Nice to Have
- Experience with CRM and ERP data (e.g., Looker Studio, HubSpot).
- Familiarity with data warehousing (e.g., BigQuery).
- Knowledge of data privacy regulations and compliance (e.g., NDPR, GDPR).
- Exposure to A/B testing, customer segmentation, or predictive modeling.
- Comfortable working in a fast-paced startup environment.
Method of Application
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